Proves Erdős-Kac type central limit theorems for the number of ramified primes in random G-extensions of number fields when G is abelian, including first examples of dependent local ramification events.
and Peel, David , year =
7 Pith papers cite this work. Polarity classification is still indexing.
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A Minkowski-type Wasserstein framework for location-scale mixtures reduces multimarginal OT to discrete component transport with linear complexity and shows competitive domain adaptation performance.
A Bayesian mixture model with product-multinomial likelihood clusters over 11,000 recurrent users from 220,000+ categorical trips in Venice, yielding eight latent mobility profiles.
A weighted K-means plus decision-tree pipeline learns multi-action policies from observational data and is applied to HCV treatment choices for HIV co-infected patients, finding a high-clearance subgroup and potential cost savings of CAN$3.6-4.9 million.
King functions for shifted Gaussians are shown to satisfy a differential equation unitarily equivalent to the radial Schrödinger operator and to form a dense system in radial velocity space.
Proves reverse Poincaré inequality on global attractor of 2D reaction-diffusion system to obtain near-parametric statistical recovery of initial conditions from discrete observations.
Finite exponential mixtures model falling backgrounds in particle physics searches with performance comparable to existing methods on datasets of 28 million and 5 thousand events, plus small bias and nominal coverage in simulations of size 5 thousand.
citing papers explorer
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Beyond the Flow: A Bayesian Latent Clustering Framework for Shared Micro-mobility Users in Venice
A Bayesian mixture model with product-multinomial likelihood clusters over 11,000 recurrent users from 220,000+ categorical trips in Venice, yielding eight latent mobility profiles.
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Policy Learning with Observational Data: The Case of Hepatitis C Treatment for HIV/HCV Co-Infected Patients
A weighted K-means plus decision-tree pipeline learns multi-action policies from observational data and is applied to HCV treatment choices for HIV co-infected patients, finding a high-clearance subgroup and potential cost savings of CAN$3.6-4.9 million.